Alzoubi, H M, Abidi, N, Ali, Atif, Jadoon, Yasir Khan, Farid, Zulqarnain, Ahmad, Munir and Alzoubi, Ali A. (2022) The Threat of Deep Fake Technology to Trusted Identity Management. In: 2022 International Conference on Cyber Resilience (ICCR), 06-07 October 2022, Dubai, United Arab Emirates.
Full text not available from this repository. (Request a copy)Abstract
With the rapid development of artificial intelligence technology, deepfake technology based on deep learning is receiving more and more attention from society or the industry. While enriching people's cultural and entertainment life, in-depth fakes technology has also caused many social problems, especially potential risks to managing network credible identities. With the continuous advancement of deep fakes technology, the security threats and trust crisis caused by it will become more serious. It is urgent to take adequate measures to curb the abuse risk of deep fakes. The article first introduces the principles and characteristics of deep fakes technology and then deeply analyzes its severe challenges to network trusted identity management. Finally, it researches the supervision and technical level and puts forward targeted preventive countermeasures.
Affiliation: | Skyline University College |
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SUC Author(s): | Alzoubi, H M ORCID: https://orcid.org/0000-0003-3178-4007 and Abidi, N |
All Author(s): | Alzoubi, H M, Abidi, N, Ali, Atif, Jadoon, Yasir Khan, Farid, Zulqarnain, Ahmad, Munir and Alzoubi, Ali A. |
Item Type: | Conference or Workshop Item (Paper) |
Uncontrolled Keywords: | Deep learning, Deepfakes, Education, Entertainment industry, Cultural differences, Security, Artificial intelligence |
Subjects: | B Information Technology > BM Artificial Intelligence B Information Technology > BR Deep Learning |
Divisions: | Skyline University College > School of IT |
Depositing User: | Mr Mosys Team |
Date Deposited: | 26 Jan 2024 15:47 |
Last Modified: | 26 Jan 2024 15:47 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/790 |
Publisher URL: | https://doi.org/10.1109/ICCR56254.2022.9995978 |
Publisher OA policy: | |
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